{"id":"W3004403696","doi":"10.48550/arxiv.2001.10657","title":"The Indian Chefs Process","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Nonparametric statistics; Prior probability; Directed acyclic graph; Bayesian network; Computer science; Joint probability distribution; Artificial intelligence; Bayesian probability; Mathematics; Machine learning; Algorithm; Econometrics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457533,0.0002721706,0.0002546169,0.00007792961,0.000318767,0.0002668437,0.00342442,0.0002530512,0.000006359629],"category_scores_gemma":[0.0000547063,0.0002288089,0.0001855092,0.0005720903,0.0001145406,0.0002262488,0.00182369,0.0008458672,0.0000639562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007316292,"about_ca_system_score_gemma":0.0003375403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002858551,"about_ca_topic_score_gemma":0.00001932525,"domain_scores_codex":[0.9981778,0.000202969,0.0001552577,0.001007841,0.00009821416,0.0003579643],"domain_scores_gemma":[0.9981011,0.000119251,0.0002030338,0.001232248,0.0001155255,0.0002288735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001816479,0.00003366241,0.0001876771,0.0001012783,0.00009219865,0.0004715116,0.00165127,0.003252564,0.00001418029,0.9782363,0.0007967085,0.01514451],"study_design_scores_gemma":[0.0002079905,0.00003110584,0.0002140067,0.00004779942,0.00003249164,0.000006112963,0.00006261629,0.1847699,0.0001827206,0.8115523,0.002488584,0.0004043996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008093582,0.000102204,0.9834094,0.001496946,0.0005624954,0.0002670288,0.000005231386,0.000233451,0.005829626],"genre_scores_gemma":[0.9837992,0.000170411,0.01427021,0.0003824795,0.0001370121,0.000001563551,0.000003266484,0.0000168817,0.001218967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9757056,"threshold_uncertainty_score":0.9330556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07867511522997653,"score_gpt":0.2088669814503986,"score_spread":0.1301918662204221,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}